Software Engineer, Machine Learning - Ranking, Home Feed, Standalone Apps Team

We're Meta's Standalone Apps Team - we build new apps to reach new user scenarios and serve needs that aren't well met today. The project we're building right now is an image-and-text community where real people share first-hand experiences and recommendations - what to try, where to go, how to do something. It's where people come to get inspired and to make everyday decisions, learning from others who've actually been there. It's still early - a small team working 01.

If you want high ownership, a short path from idea to ship, and the chance to shape a product from its first version, this is that kind of team.

We're looking for a staff-level ML engineer to own ranking for the home feed. You'll set the modeling and systems direction for the feed that defines the product experience, and drive measurable gains in engagement and quality.Own the modeling and systems direction for home-feed ranking - candidate generation, ranking models, features, and the serving stack. Define the metrics and experimentation approach for feed quality; drive measurable improvements while guarding against low-quality content. Build and scale the ML systems (training, features, serving) that ranking depends on. Set technical direction across teams; align ranking work with product strategy. Mentor ML and product engineers; raise the bar on modeling and experimentation rigor.Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12+ years of relevant experience, with deep expertise in recommendation systems / ranking Strong foundation in ML (modeling, features, evaluation) and in the systems that train and serve models at scale Track record of driving ranking/recsys improvements that moved product metrics Experience setting technical direction across multiple teams Experience building ranking for a new product or cold-start feed (01, sparse data) Experience with large-scale recommendation infrastructure and online experimentation Publications or recognized contributions in recsys/MLMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .